Decoupling RNN Training and Testing Observation Intervals for Spectrum Sensing Applications

Recurrent neural networks have been shown to outperform other architectures when processing temporally correlated data, such as from wireless communication signals. However, compared to other architectures, such as convolutional neural networks, recurrent neural networks can suffer from drastically...

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Bibliographic Details
Main Authors: Megan O. Moore, R. Michael Buehrer, William Chris Headley
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/13/4706